Compatible with every major AI agent and IDE
Check audio risk on Shumei Anti-Fraud
Predict risk associated with an audio clip
Check device risk on Shumei Anti-Fraud
Determine if a specific device ID or IP is fraudulent or using a VPN
Check image risk on Shumei Anti-Fraud
Scan an image for NSFW or restricted content
Check text risk on Shumei Anti-Fraud
Scan a piece of text for spam, abuse, or NSFW content
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Does my image data get stored on their servers?
Shumei caches media briefly for anti-spam scanning operations but does not persist non-flagged uploads permanently. Consult your enterprise agreement for strict retention periods.
Triggering Shumei Anti-Fraud via Natural Language
Securely interface Claude Code, ChatGPT, and Cursor with the Shumei Anti-Fraud API through semantic routing and standardized natural language triggers.
The Future of fraud detection
The Shumei Anti-Fraud MCP translates LLM intent into specific fraud detection actions. Agents like Cursor use this to interface securely with your customer support infrastructure.
Intelligent nsfw filtering Management
The Shumei Anti-Fraud server supports direct MCP connections for nsfw filtering. This provides Claude with the required permissions to execute customer support functions.
Shumei Anti-Fraud. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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